Awesome

Vectorflow is a minimalist neural network library optimized for sparse data and single machine environments.

Original blog post here.

Installation

dub package

The library is distributed as a dub package. Add vectorflow to the dependencies section of your dub.json:

"vectorflow": "~>1.0.2"

The library itself doesn't have any dependencies. All you need is a recent D compiler.

LDC is the recommended compiler for the fastest runtime speed.

Tested on:

• Linux, OSX
• LDC version: >= 1.1.1
• DMD version: >= 2.073.1

Setting up a D environment

If you're new to D, keep reading. You will need dub (the D package manager) and LDC (the LLVM-based D compiler).

macOS

brew install dub
brew install ldc

Ubuntu

apt-get install -y curl xz-utils
curl -fsS https://dlang.org/install.sh | bash -s ldc
source ~/dlang/ldc-{VERSION}/activate

Examples

To run the RCV1 example (sparse logistic regression):

cd examples && ./compile_run.sh rcv1.d

Tests

To run the tests:

dub test

Documentation

vectorflow uses ddoc. One way of building and serving the documentation locally (you will need libevent for serving) is:

dub build -b ddox && dub run -b ddox

Or use your favorite DDOC compiler.

Please also refer to the repo wiki.